ARTIFICIAL INTELLIGENCE AND THE FUTURE OF WORK IN THE PHILIPPINES A Critical Integrative Research Thesis on the Impact of Generative AI and Automation on Labor Dynamics, Skill Polarization, and Economic Resilience in the Philippine Workforce
Zohn Denniel Tabog Dionisio · Zenodo (CERN European Organization for Nuclear Research) · 4 Nov 2026
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Where this sits in the debate
- Will AI destroy more jobs than it creates? · its finding: it depends (why studies differ)
- Will AI widen inequality? · its finding supports the claim (why studies differ)
Direction of the finding as read from the abstract by an AI model (AI-written).
Abstract
The rapid acceleration and adoption of Generative Artificial Intelligence (AI) and enterprise automation are restructuring global labor markets, presenting acute structural implications for developing service-exporting economies. In the Philippines, where economic stability and gross domestic product (GDP) growth rely heavily on the Information Technology and Business Process Management (IT-BPM) sector, telecommunications,retail, and administrative services, artificial intelligence poses a complex economic paradox. Unlike previous waves of industrial mechanization that displaced routine physical labor, modern generative systems generate language, synthesize code, conduct cognitive back-office operations, and automate complex customer interaction workflows. This research investigates the multi-dimensional impact of artificial intelligence on the Philippine labor market,with a focus on workforce vulnerability, skill polarization, wage dynamics, and systemic displacement across key industries. Through a critical integrative review of empirical macroeconomic indicators, labor market studies, and structural policy frameworks, this study examines the dual reality of AI as both an engine for economic modernization (intelligence arbitrage) and a catalyst for structural unemployment. The paper argues that AI does not simply eliminate jobs wholesale; rather, it fundamentally shifts the division of labor from human execution of repetitive cognitive tasks to human supervision of automated workflows.While entry-level and voice-based outsourcing operations face heightened vulnerability, high-value, AI-augmented services (e.g., healthcare administration, cybersecurity, data engineering, and complex financial analysis) present opportunities for value creation. Finally, the study analyzes the structural bottlenecks in the country’s digital infrastructure, public education,and upskilling policy frameworks. It proposes actionable labor governance strategies and human-capital intervent
About this publication
Preprint. Posted on a preprint server or repository (arXiv, SSRN, Zenodo and others) before or without peer review. Anyone can post there.
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- 2026 (recently)
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Reaches a different conclusion
Papers on the same question whose finding points the other way, as read from the abstracts by an AI model (AI-written). Why studies differ.
- Forecasting the Economic Effects of AI
Jobs: its finding supports the claim · Ezra Karger et al. · 2026 - The Future of Jobs Report 2025
Jobs: its finding goes against the claim · World Economic Forum · 2025 - Experimental evidence on the productivity effects of generative artificial intelligence
Inequality: its finding goes against the claim · Shakked Noy and Whitney Zhang · 2023 - The ABCs of Who Benefits from Working with AI: Ability, Beliefs, and Calibration
Inequality: its finding goes against the claim · Andrew Caplin et al. · 2025
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Erik Brynjolfsson et al. · Stanford Digital Economy Lab working paper · 2025 - Expertise
David Autor and Neil Thompson · Journal of the European Economic Association · 2025
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